Abstract
One of the current challenges in model-driven engineering is enabling effective collaborative modelling. Two common approaches are either storing the models in a central repository, or keeping them under a traditional file-based version control system and build a centralized index for model-wide queries. Either way, special attention must be paid to the nature of these repositories and indexes as networked services: they should remain responsive even with an increasing number of concurrent clients. This paper presents an empirical study on the impact of certain key decisions on the scalability of concurrent model queries, using an Eclipse Connected Data Objects model repository and a Hawk model index. The study evaluates the impact of the network protocol, the API design and the internal caching mechanisms and analyzes the reasons for their varying performance.
Keywords
- Model Index
- Graph Database
- Eclipse Modeling Framework
- Query Response Time
- Client Machine
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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As stated in http://projects.eclipse.org/projects/modeling.emf.cdo.
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The Neo4j performance guide suggests this amount for a system with up to 100M nodes and 8GiB RAM, to allow the OS to keep the graph database in its disk cache.
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References
Mohagheghi, P., Gilani, W., Stefanescu, A., Fernandez, M.A.: An empirical study of the state of the practice and acceptance of model-driven engineering in four industrial cases. Empirical Softw. Eng. 18(1), 89–116 (2012)
Kolovos, D.S., Paige, R.F., Polack, F.A.C.: Scalability: the holy grail of model driven engineering. In: Proceedings of the Workshop on Challenges in MDE, Collocated with MoDELS 2008, Toulouse, France (2008)
Barmpis, K., Kolovos, D.S.: Evaluation of contemporary graph databases for efficient persistence of large-scale models. J. Object Technol., 13–3: 3: 1–26, July 2014. doi:10.5381/jot.2014.13.3.a3
Paternostro, M., Steinberg, D., Budinsky, F., Merks, E.: EMF: Eclipse Modeling Framework, 2nd edn. Addison-Wesley Professional, Reading (2008)
Kramler, G., Kappel, G., Reiter, T., Kapsammer, E., Retschitzegger, W., Schwinger, W.: Towards a semantic infrastructure supporting model-based tool integration. In: Proceedings of the 2006 International Workshop on Global Integrated Model Management, GaMMa 2006, pp. 43–46. ACM, New York (2006)
Gómez, A., Tisi, M., Sunyé, G., Cabot, J.: Map-based transparent persistence for very large models. In: Egyed, A., Schaefer, I. (eds.) FASE 2015. LNCS, vol. 9033, pp. 19–34. Springer, Heidelberg (2015)
Pagán, J.E., Cuadrado, J.S., Molina, J.G.: A repository for scalable model management. Softw. Syst. Model., 1–21 (2013). doi:10.1007/s10270-013-0326-8
Koegel, M., Helming, J.: EMFStore: a model repository for EMF models. In: Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering, vol. 2, pp. 307–308. ACM (2010)
Barmpis, K., Shah, S., Kolovos, D.S.: Towards incremental updates in large-scale model indexes. In: Taentzer, G., Bordeleau, F. (eds.) ECMFA 2015. LNCS, vol. 9153, pp. 137–153. Springer, Heidelberg (2015)
Kolovos, D.S., Paige, R.F., Polack, F.A.C.: The Epsilon Object Language (EOL). In: Rensink, A., Warmer, J. (eds.) ECMDA-FA 2006. LNCS, vol. 4066, pp. 128–142. Springer, Heidelberg (2006)
GraBaTs. 5th Int. Workshop on Graph-Based Tools (2009). http://is.tm.tue.nl/staff/pvgorp/events/grabats2009/. Accessed 29 Feb 2016
Sottet, J.-S., Jouault, F.: Program comprehension. In: Proceedings of the 5th International Workshop on Graph-Based Tools (2009). http://is.tm.tue.nl/staff/pvgorp/events/grabats2009/cases/grabats2009reverseengineering.pdf. Accessed 29 Feb 2016
Barmpis, K., Kolovos, D.S.: Towards scalable querying of large-scale models. In: Cabot, J., Rubin, J. (eds.) ECMFA 2014. LNCS, vol. 8569, pp. 35–50. Springer, Heidelberg (2014)
Barmpis, K., Kolovos, D.S.: Towards scalable querying of large-scale models. In: Cabot, J., Rubin, J. (eds.) ECMFA 2014. LNCS, vol. 8569, pp. 35–50. Springer, Heidelberg (2014)
Chambers, J.M., Cleveland, W.S., Tukey, P.A., Kleiner, B.: Graphical Methods for Data Analysis, 1st edn. Duxbury Press, Boston (1983). ISBN 978-0-534-98052-8
Acknowledgments
This research was part supported by the EPSRC, through the Large-Scale Complex IT Systems project (EP/F001096/1) and by the EU, through the MONDO FP7 STREP project (#611125).
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Garcia-Dominguez, A., Barmpis, K., Kolovos, D.S., Wei, R., Paige, R.F. (2016). Stress-Testing Centralised Model Stores. In: Wąsowski, A., Lönn, H. (eds) Modelling Foundations and Applications. ECMFA 2016. Lecture Notes in Computer Science(), vol 9764. Springer, Cham. https://doi.org/10.1007/978-3-319-42061-5_4
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